channel estimation 1graph neural networks 1permutation non-equivariance 1positional attention 1precoding 1
From the 1 of 2 linked papers with an AI index.
2 papers
eess.SP2026
Positional Attention-based Graph Neural Network for Learning Permutation Non-equivariant Wireless Policies
Baichuan Zhao, Chenyang Yang, Jianyu Zhao +1
The paper introduces a positional attention‑based graph neural network that can learn wireless policies which are not permutation equivariant, improving channel estimation and end‑…
cs.LG2025
Designing Heterogeneous GNNs with Desired Permutation Properties for Wireless Resource Allocation
Jianyu Zhao, Chenyang Yang, Tingting Liu
Graph neural networks (GNNs) have been designed for learning a variety of wireless policies, i.e., the mappings from environment parameters to decision variables, thanks to their s…